Serena Ferraiuolo , Farah Bou Nasser Eddine , Deborah Ferrante , Andrea Dal Corso , Lorenzo Querin , Marco Rigamonti , PierNatale Brusasca , Alfredo Mento , Antonio Savinelli , Karolina Zytko , Massimo Panizzo , Elisa Ghezzi , Clara Rossini , Chiara Mauro , Andrea Pighini , Claudia Zierold , Fabrizio Bonelli , Paolo Ingallinella
{"title":"联络®军团菌尿银测定:一种新型的高通量、全自动双抗原检测方法,具有更高的灵敏度和扩大的军团菌种类和血清组覆盖范围","authors":"Serena Ferraiuolo , Farah Bou Nasser Eddine , Deborah Ferrante , Andrea Dal Corso , Lorenzo Querin , Marco Rigamonti , PierNatale Brusasca , Alfredo Mento , Antonio Savinelli , Karolina Zytko , Massimo Panizzo , Elisa Ghezzi , Clara Rossini , Chiara Mauro , Andrea Pighini , Claudia Zierold , Fabrizio Bonelli , Paolo Ingallinella","doi":"10.1016/j.resinv.2025.09.006","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div><em>Legionella pneumophila</em> is a leading cause of Legionnaires’ disease, with <em>Legionella pneumophila</em> serogroup 1 (<em>Lp</em>1) being the most commonly detected strain. Current urinary antigen tests (UAT) primarily target <em>Lp</em>1, leading to underdiagnosis of non-<em>Lp</em>1 and other <em>Legionella</em> species. A broad-spectrum, fully automated UAT is needed to improve diagnostic accuracy and patient outcomes.</div></div><div><h3>Methods</h3><div>A novel chemiluminescence immunoassay-based UAT was developed targeting both <em>Legionella</em> peptidoglycan-associated lipoprotein (PAL) and soluble lipopolysaccharide antigen to enable broader detection. Monoclonal antibodies were generated against PAL and integrated into an automated immunoassay platform. The assay's analytical performance was evaluated using recombinant PAL antigens, urine samples spiked with <em>Legionella</em> strains, and clinical specimens. Sensitivity, specificity, cross-reactivity, interference, and precision were assessed.</div></div><div><h3>Results</h3><div>The LIAISON® <em>Legionella</em> Urinary Ag assay demonstrated a 97.5 % positive agreement and 100 % negative agreement with the Binax™ UAT in detecting <em>Legionella</em> infections. Importantly, the new test also identified multiple non-<em>Lp</em>1 <em>Legionella</em> species, which the comparator assay failed to detect. The assay showed low imprecision, no cross-reactivity or interference.</div></div><div><h3>Conclusions</h3><div>The LIAISON® <em>Legionella</em> Urinary Ag Assay, a fully automated chemiluminescence-based UAT, provides highly sensitive and specific detection of <em>Legionella</em> infections, including non-<em>Lp</em>1 strains, addressing a major limitation of existing diagnostics. This assay has the potential to improve early detection, guide targeted antibiotic therapy, and enhance public health surveillance of Legionnaires’ disease.</div></div>","PeriodicalId":20934,"journal":{"name":"Respiratory investigation","volume":"63 6","pages":"Pages 1221-1228"},"PeriodicalIF":2.0000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The LIAISON® Legionella Urinary Ag assay: A novel high-throughput, fully automated dual-antigen detection method with improved sensitivity and expanded Legionella species and serogroup coverage\",\"authors\":\"Serena Ferraiuolo , Farah Bou Nasser Eddine , Deborah Ferrante , Andrea Dal Corso , Lorenzo Querin , Marco Rigamonti , PierNatale Brusasca , Alfredo Mento , Antonio Savinelli , Karolina Zytko , Massimo Panizzo , Elisa Ghezzi , Clara Rossini , Chiara Mauro , Andrea Pighini , Claudia Zierold , Fabrizio Bonelli , Paolo Ingallinella\",\"doi\":\"10.1016/j.resinv.2025.09.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div><em>Legionella pneumophila</em> is a leading cause of Legionnaires’ disease, with <em>Legionella pneumophila</em> serogroup 1 (<em>Lp</em>1) being the most commonly detected strain. Current urinary antigen tests (UAT) primarily target <em>Lp</em>1, leading to underdiagnosis of non-<em>Lp</em>1 and other <em>Legionella</em> species. A broad-spectrum, fully automated UAT is needed to improve diagnostic accuracy and patient outcomes.</div></div><div><h3>Methods</h3><div>A novel chemiluminescence immunoassay-based UAT was developed targeting both <em>Legionella</em> peptidoglycan-associated lipoprotein (PAL) and soluble lipopolysaccharide antigen to enable broader detection. Monoclonal antibodies were generated against PAL and integrated into an automated immunoassay platform. The assay's analytical performance was evaluated using recombinant PAL antigens, urine samples spiked with <em>Legionella</em> strains, and clinical specimens. Sensitivity, specificity, cross-reactivity, interference, and precision were assessed.</div></div><div><h3>Results</h3><div>The LIAISON® <em>Legionella</em> Urinary Ag assay demonstrated a 97.5 % positive agreement and 100 % negative agreement with the Binax™ UAT in detecting <em>Legionella</em> infections. Importantly, the new test also identified multiple non-<em>Lp</em>1 <em>Legionella</em> species, which the comparator assay failed to detect. The assay showed low imprecision, no cross-reactivity or interference.</div></div><div><h3>Conclusions</h3><div>The LIAISON® <em>Legionella</em> Urinary Ag Assay, a fully automated chemiluminescence-based UAT, provides highly sensitive and specific detection of <em>Legionella</em> infections, including non-<em>Lp</em>1 strains, addressing a major limitation of existing diagnostics. This assay has the potential to improve early detection, guide targeted antibiotic therapy, and enhance public health surveillance of Legionnaires’ disease.</div></div>\",\"PeriodicalId\":20934,\"journal\":{\"name\":\"Respiratory investigation\",\"volume\":\"63 6\",\"pages\":\"Pages 1221-1228\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Respiratory investigation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S221253452500142X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Respiratory investigation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221253452500142X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
The LIAISON® Legionella Urinary Ag assay: A novel high-throughput, fully automated dual-antigen detection method with improved sensitivity and expanded Legionella species and serogroup coverage
Background
Legionella pneumophila is a leading cause of Legionnaires’ disease, with Legionella pneumophila serogroup 1 (Lp1) being the most commonly detected strain. Current urinary antigen tests (UAT) primarily target Lp1, leading to underdiagnosis of non-Lp1 and other Legionella species. A broad-spectrum, fully automated UAT is needed to improve diagnostic accuracy and patient outcomes.
Methods
A novel chemiluminescence immunoassay-based UAT was developed targeting both Legionella peptidoglycan-associated lipoprotein (PAL) and soluble lipopolysaccharide antigen to enable broader detection. Monoclonal antibodies were generated against PAL and integrated into an automated immunoassay platform. The assay's analytical performance was evaluated using recombinant PAL antigens, urine samples spiked with Legionella strains, and clinical specimens. Sensitivity, specificity, cross-reactivity, interference, and precision were assessed.
Results
The LIAISON® Legionella Urinary Ag assay demonstrated a 97.5 % positive agreement and 100 % negative agreement with the Binax™ UAT in detecting Legionella infections. Importantly, the new test also identified multiple non-Lp1 Legionella species, which the comparator assay failed to detect. The assay showed low imprecision, no cross-reactivity or interference.
Conclusions
The LIAISON® Legionella Urinary Ag Assay, a fully automated chemiluminescence-based UAT, provides highly sensitive and specific detection of Legionella infections, including non-Lp1 strains, addressing a major limitation of existing diagnostics. This assay has the potential to improve early detection, guide targeted antibiotic therapy, and enhance public health surveillance of Legionnaires’ disease.